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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 111495
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    Explanations

    terms associated with retail job titles and roles, particularly in customer service and cashier positions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    cashier and clerk

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     upraw
    -0.55
    ódnica
    -0.54
    المكان
    -0.53
    ambique
    -0.49
     proprietà
    -0.47
    ogramm
    -0.47
    aronder
    -0.47
    ackerel
    -0.47
     posibil
    -0.47
    ransition
    -0.47
    POSITIVE LOGITS
     cashier
    0.69
     clerk
    0.52
     booth
    0.50
     checkout
    0.48
     kiosk
    0.47
     clerks
    0.46
    ashier
    0.45
    booth
    0.45
     desk
    0.44
     staff
    0.43
    Activations Density 0.007%

    No Known Activations